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Paper Citation Record · LEDGER

Anomaly detection with Convolutional Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.07988.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2105.07988 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:19:24.505670Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T19:38:52.970466Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f768af68-c621-4b04-8bbc-da0fa65ab60e · inbound

Enhancing anomaly detection with topology-aware autoencoders cites this paper.

Enhancing anomaly detection with topology-aware autoencoders Anomaly detection with Convolutional Graph Neural Networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:24.505670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:24.505670Z digest=sha256:6674f486a78e507ceff8a414e11b03b1de72b49147e287d0942d0da54c5e37b8

Observation 9c22f379-2777-49b2-a3c0-5829fd42ecab · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Anomaly detection with Convolutional Graph Neural Networks

Reference 141

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:38:52.972144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:f7a54d916e304d85b88691189a6dcf9c7705936261d8517bff1fccaaf3602dd6